Predicting Customer Churn in Electronic Banking
AbstractThe following paper is an outline of the current author’s research on the churn prediction in electronic banking. The research is based on real anonymised data of 4 million clients from one of the biggest Polish banks. Access to real data in such scale is a substantial strength of the study, as many researchers often do use only small data sample from a short period. Even though current research is still preliminary and ongoing, unlimited access to these data provides a great environment for further work. The study strongly connects with real business goals and trends in the banking industry as the author is also a practitioner. Described research focuses on methods for predicting customers who are likely to leave electronic banking. It contributes especially in further classification of an electronic churn and a broader definition of customer churn in general. Recommended solutions should contribute to the increase in the number of digital customers in the bank.
|Publication size in sheets||0.5|
|Book||Abramowicz Witold, Paschke Adrian (eds.): BIS 2018 International Workshops, Berlin, Germany, July 18–20, 2018, Revised Papers, Lecture Notes in Business Information Processing, vol. 339, 2019, Springer, ISBN 978-3-030-04848-8, [978-3-030-04849-5], 708 p., DOI:10.1007/978-3-030-04849-5|
|Keywords in Polish||Przewidywanie Odchodzenia Klientów Banku, Churn, Bankowość Elektroniczna|
|Keywords in English||Banking, Churn prediction, Electronic banking|
|Score||= 70.0, 24-03-2020, ChapterFromConference|
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